initial checkin of bloom filter
git-svn-id: svn+ssh://svn.corp.yahoo.com/yahoo/yrl/labs/pnuts/code/logstore@1232 8dad8b1f-cf64-0410-95b6-bcf113ffbcfe
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5 changed files with 263 additions and 1 deletions
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@ -76,7 +76,7 @@ ENDIF ( "${CMAKE_C_COMPILER_ID}" STREQUAL "GNU" )
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#CONFIGURE_FILE(${CMAKE_CURRENT_SOURCE_DIR}/config.h.cmake ${CMAKE_CURRENT_BINARY_DIR}/config.h)
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#CONFIGURE_FILE(${CMAKE_CURRENT_SOURCE_DIR}/config.h.cmake ${CMAKE_CURRENT_BINARY_DIR}/config.h)
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IF ( HAVE_STASIS )
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IF ( HAVE_STASIS )
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ADD_LIBRARY(logstore requestDispatch.cpp simpleServer.cpp logserver.cpp logstore.cpp diskTreeComponent.cpp memTreeComponent.cpp datapage.cpp merger.cpp tuplemerger.cpp mergeStats.cpp mergeManager.cpp)
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ADD_LIBRARY(logstore requestDispatch.cpp simpleServer.cpp logserver.cpp logstore.cpp diskTreeComponent.cpp memTreeComponent.cpp datapage.cpp merger.cpp tuplemerger.cpp mergeStats.cpp mergeManager.cpp bloomFilter.c)
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CREATE_EXECUTABLE(server)
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CREATE_EXECUTABLE(server)
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CREATE_EXECUTABLE(newserver)
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CREATE_EXECUTABLE(newserver)
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ENDIF ( HAVE_STASIS )
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ENDIF ( HAVE_STASIS )
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131
bloomFilter.c
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131
bloomFilter.c
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@ -0,0 +1,131 @@
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#include <assert.h>
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#include <math.h>
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#include <stdio.h>
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#include "bloomFilter.h"
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/**
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Variable names:
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m: number of bloom filter bits
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n: number of bloom filter entries
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k: number of hash functions = ln(2) * (m/n)
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c: m/n
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f: false positive rate = (1/2)^k ~= 0.6185)^(m/n) ;
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taking lof_0.6185 of both sides: k log_0.6185(1/2) = m/n ;
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applying change of base: k log(1/2) / log(6.128) = m / n
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(but that's not useful; this is:)
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f ~= 0.6185 ^ (m/n)
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log_0.6185(f) = m/n
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log(f) / log(0.6185) = m / n
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m = n log f / log 0.6185
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p: probability a given bit is 1 ~= e^(-kn/m)
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*/
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static uint64_t bloom_filter_calc_num_buckets(uint64_t num_expected_items, double false_positive_rate) {
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//m = n log f / log 0.6185
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return ((uint64_t) ceil(((double)num_expected_items) * log(false_positive_rate) / log(0.6185)));
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// m = - n ln f / ln 2 ^ 2 = - n ln f / 0.4804 = - n log f / (0.4343 * 0.4804) = -n log f / 0.2086
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}
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static int bloom_filter_calc_num_functions(uint64_t num_expected_items, uint64_t num_buckets) {
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// k = ln(2) * (m/n)
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int ret = floor((log(2) / log(exp(1.0))) * ((double) num_buckets) / (double) num_expected_items);
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if(ret == 0) {
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return 1;
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} else {
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return ret;
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}
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}
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static double bloom_filter_current_false_positive_rate(uint64_t actual_number_of_items, uint64_t num_buckets) {
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// 0.6185^(m/n)
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return pow(0.6185, ((double)num_buckets)/(double)actual_number_of_items);
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}
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struct bloom_filter_t {
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uint64_t (*func_a)(const char *, int);
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uint64_t (*func_b)(const char *, int);
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uint64_t num_expected_items;
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double desired_false_positive_rate;
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uint64_t num_buckets;
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uint8_t * buckets;
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uint64_t num_functions;
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uint64_t*result_scratch_space;
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uint64_t actual_number_of_items;
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};
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bloom_filter_t * bloom_filter_create(uint64_t(*func_a)(const char*,int),
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uint64_t(*func_b)(const char*,int),
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uint64_t num_expected_items,
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double false_positive_rate) {
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bloom_filter_t * ret = malloc(sizeof(*ret));
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ret->func_a = func_a;
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ret->func_b = func_b;
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ret->num_expected_items = num_expected_items;
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ret->desired_false_positive_rate = false_positive_rate;
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ret->num_buckets = bloom_filter_calc_num_buckets(ret->num_expected_items, ret->desired_false_positive_rate);
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ret->buckets = calloc((ret->num_buckets / 8) + ((ret->num_buckets % 8 == 0) ? 0 : 1), 1);
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ret->num_functions = bloom_filter_calc_num_functions(ret->num_expected_items, ret->num_buckets);
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ret->result_scratch_space = malloc(sizeof(*ret->result_scratch_space) * ret->num_functions);
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ret->actual_number_of_items = 0;
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return ret;
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}
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void bloom_filter_destroy(bloom_filter_t* bf) {
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free(bf->buckets);
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free(bf);
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}
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// XXX this uses %. It would be better if it used &, but that would potentially double the memory we use. #define a flag.
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static void bloom_filter_calc_functions(bloom_filter_t * bf, uint64_t* results, const char * key, int keylen) {
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uint64_t fa = bf->func_a(key, keylen);
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uint64_t fb = bf->func_b(key, keylen);
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results[0] = (fa + fb) % bf->num_buckets;
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for(int i = 1; i < bf->num_functions; i++) {
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results[i] = (results[i-1] + fb ) % bf->num_buckets;
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}
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}
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static const uint8_t bloom_filter_bit_masks[] = { 1, 2, 4, 8, 16, 32, 64, 128 };
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static void bloom_filter_set_bit(bloom_filter_t *bf, uint64_t bit) {
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uint64_t array_offset = bit >> 3;
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uint8_t bit_number = bit & 7;
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assert(bit < bf->num_buckets);
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bf->buckets[array_offset] |= bloom_filter_bit_masks[bit_number];
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}
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/**
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@return 0 if the bit is not set, true otherwise.
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*/
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static uint8_t bloom_filter_get_bit(bloom_filter_t *bf, uint64_t bit) {
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uint64_t array_offset = bit >> 3;
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uint8_t bit_number = bit & 7;
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assert(bit < bf->num_buckets);
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return bf->buckets[array_offset] & bloom_filter_bit_masks[bit_number];
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}
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void bloom_filter_insert(bloom_filter_t * bf, const char *key, int len) {
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bloom_filter_calc_functions(bf, bf->result_scratch_space, key, len);
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for(int i = 0; i < bf->num_functions; i++) {
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bloom_filter_set_bit(bf, bf->result_scratch_space[i]);
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}
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bf->actual_number_of_items++;
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}
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int bloom_filter_lookup(bloom_filter_t * bf, const char * key, int len) {
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int ret = 1;
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uint64_t * scratch = malloc(sizeof(*scratch) * bf->num_functions);
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bloom_filter_calc_functions(bf, scratch, key, len);
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for(int i = 0; i < bf->num_functions; i++) {
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ret = ret && bloom_filter_get_bit(bf, scratch[i]);
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}
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free(scratch);
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return ret;
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}
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void bloom_filter_print_stats(bloom_filter_t * bf) {
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printf("Design capacity %lld design false positive %f\n"
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"Current item count %lld current false positive %f\n"
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"Number of buckets %lld (%f MB), number of hash functions %lld\n",
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bf->num_expected_items, bf->desired_false_positive_rate,
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bf->actual_number_of_items,
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bloom_filter_current_false_positive_rate(bf->actual_number_of_items, bf->num_buckets),
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bf->num_buckets, ((double)bf->num_buckets) / (8.0 * 1024.0 * 1024.0), bf->num_functions);
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}
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28
bloomFilter.h
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28
bloomFilter.h
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#ifndef BLOOM_FILTER_H
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#define BLOOM_FILTER_H
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#include <stasis/common.h>
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BEGIN_C_DECLS
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typedef struct bloom_filter_t bloom_filter_t;
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/**
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@return 0 if there is not enough memory, or some other error occurred; a pointer to the new bloom filter otherwise.
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*/
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bloom_filter_t * bloom_filter_create(uint64_t(*hash_func_a)(const char*,int), uint64_t(*hash_func_b)(const char*,int),
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uint64_t num_expected_items, double false_positive_rate);
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void bloom_filter_destroy(bloom_filter_t*);
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void bloom_filter_insert(bloom_filter_t * bf, const char* key, int len);
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/**
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@return 1 if the value might be in the bloom filter, 0 otherwise
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*/
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int bloom_filter_lookup(bloom_filter_t * bf, const char* key, int len);
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void bloom_filter_print_stats(bloom_filter_t * bf);
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END_C_DECLS
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#endif
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@ -1,5 +1,6 @@
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IF( HAVE_STASIS )
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IF( HAVE_STASIS )
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CREATE_CHECK(check_gen)
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CREATE_CHECK(check_gen)
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CREATE_CHECK(check_bloomFilter)
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CREATE_CHECK(check_testAndSet)
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CREATE_CHECK(check_testAndSet)
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CREATE_CHECK(check_logtree)
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CREATE_CHECK(check_logtree)
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CREATE_CHECK(check_datapage)
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CREATE_CHECK(check_datapage)
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102
test/check_bloomFilter.cpp
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102
test/check_bloomFilter.cpp
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/*
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* check_bloomFilter.c
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*
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* Created on: Oct 2, 2010
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* Author: sears
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*/
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#include <stasis/util/hashFunctions.h>
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#include <bloomFilter.h>
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#include <assert.h>
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#include <stdio.h>
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#include <sys/time.h>
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#include <stasis/crc32.h>
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/*
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* This file can test CRC and FNV-1 based hash functions. Based on early experiments:
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*
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* CRC32 insert/lookup: 11/13 seconds, 1.1% false positive
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* FNV-1 insert/lookup: 8/9 seconds, 2.8% false positive
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*
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* Expected false positive rate is 1%.
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*/
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static uint64_t hash_a(const char* a, int len) {
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return stasis_crc32(a,len,0xcafebabe);
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}
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static uint64_t hash_b(const char* a, int len) {
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return stasis_crc32(a,len,0xdeadbeef);
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}
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static uint64_t hash_a_fnv(const char* a, int len) {
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return stasis_util_hash_fnv_1_uint32_t((const byte*)a, len);
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}
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static uint64_t hash_b_fnv(const char* a, int len) {
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return stasis_util_hash_fnv_1_uint64_t((const byte*)a, len);
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}
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static char * malloc_random_string(int group) {
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char * str = 0;
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int strlen = 0;
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while(!strlen) strlen = 128 + (rand() & 127);
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str = (char*)malloc(strlen + 1);
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str[0] = group;
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for(int i = 1; i < strlen; i++) {
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str[i] = (rand() & 128) + 1;
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}
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str[strlen] = 0;
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return str;
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}
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int main(int argc, char * argv[]) {
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(void)hash_a; (void)hash_b;
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(void)hash_a_fnv; (void)hash_b_fnv;
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const int num_inserts = 1000000;
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char ** strings = (char**)malloc(num_inserts * sizeof(char*));
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uint64_t sum_strlen = 0;
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struct timeval start, stop;
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gettimeofday(&start, 0);
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printf("seed: %lld\n", (long long)start.tv_sec);
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srand(start.tv_sec);
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for(int i = 0; i < num_inserts; i++) {
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strings[i] = malloc_random_string(1);
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sum_strlen += strlen(strings[i]);
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}
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gettimeofday(&stop,0);
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printf("Generated strings in %d seconds. Mean string length: %f\n", (int)(stop.tv_sec - start.tv_sec), (double)(sum_strlen)/(double)num_inserts);
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bloom_filter_t * bf = bloom_filter_create(hash_a, hash_b, num_inserts, 0.01);
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bloom_filter_print_stats(bf);
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gettimeofday(&start, 0);
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for(int i = 0; i < num_inserts; i++) {
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bloom_filter_insert(bf,strings[i], strlen(strings[i]));
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}
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gettimeofday(&stop, 0);
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printf("Inserted strings in %d seconds.\n", (int)(stop.tv_sec - start.tv_sec));
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gettimeofday(&start, 0);
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for(int i = 0; i < num_inserts; i++) {
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assert(bloom_filter_lookup(bf, strings[i], strlen(strings[i])));
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}
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gettimeofday(&stop, 0);
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printf("Looked up strings in %d seconds.\n", (int)(stop.tv_sec - start.tv_sec));
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bloom_filter_print_stats(bf);
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uint64_t false_positives = 0;
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gettimeofday(&start, 0);
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for(int i = 0; i < num_inserts; i++) {
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char * str = malloc_random_string(2);
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if(bloom_filter_lookup(bf, str, strlen(str))) {
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false_positives ++;
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}
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assert(bloom_filter_lookup(bf, strings[i], strlen(strings[i])));
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free(str);
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}
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gettimeofday(&stop, 0);
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printf("Generated and looked up non-existant strings in %d seconds\n"
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"false positive rate was %lf\n", (int)(stop.tv_sec - start.tv_sec),
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((double)false_positives)/(double)num_inserts);
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return 0;
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}
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